import os
import struct
import tempfile
from django.contrib.gis.gdal import GDAL_VERSION, GDALRaster
from django.contrib.gis.gdal.error import GDALException
from django.contrib.gis.gdal.raster.band import GDALBand
from django.contrib.gis.shortcuts import numpy
from django.test import SimpleTestCase
from ..data.rasters.textrasters import JSON_RASTER
class GDALRasterTests(SimpleTestCase):
"""
Test a GDALRaster instance created from a file (GeoTiff).
"""
def setUp(self):
self.rs_path = os.path.join(os.path.dirname(__file__), '../data/rasters/raster.tif')
self.rs = GDALRaster(self.rs_path)
def test_rs_name_repr(self):
self.assertEqual(self.rs_path, self.rs.name)
self.assertRegex(repr(self.rs), r"<Raster object at 0x\w+>")
def test_rs_driver(self):
self.assertEqual(self.rs.driver.name, 'GTiff')
def test_rs_size(self):
self.assertEqual(self.rs.width, 163)
self.assertEqual(self.rs.height, 174)
def test_rs_srs(self):
self.assertEqual(self.rs.srs.srid, 3086)
self.assertEqual(self.rs.srs.units, (1.0, 'metre'))
def test_rs_srid(self):
rast = GDALRaster({
'width': 16,
'height': 16,
'srid': 4326,
})
self.assertEqual(rast.srid, 4326)
rast.srid = 3086
self.assertEqual(rast.srid, 3086)
def test_geotransform_and_friends(self):
# Assert correct values for file based raster
self.assertEqual(
self.rs.geotransform,
[511700.4680706557, 100.0, 0.0, 435103.3771231986, 0.0, -100.0]
)
self.assertEqual(self.rs.origin, [511700.4680706557, 435103.3771231986])
self.assertEqual(self.rs.origin.x, 511700.4680706557)
self.assertEqual(self.rs.origin.y, 435103.3771231986)
self.assertEqual(self.rs.scale, [100.0, -100.0])
self.assertEqual(self.rs.scale.x, 100.0)
self.assertEqual(self.rs.scale.y, -100.0)
self.assertEqual(self.rs.skew, [0, 0])
self.assertEqual(self.rs.skew.x, 0)
self.assertEqual(self.rs.skew.y, 0)
# Create in-memory rasters and change gtvalues
rsmem = GDALRaster(JSON_RASTER)
# geotransform accepts both floats and ints
rsmem.geotransform = [0.0, 1.0, 2.0, 3.0, 4.0, 5.0]
self.assertEqual(rsmem.geotransform, [0.0, 1.0, 2.0, 3.0, 4.0, 5.0])
rsmem.geotransform = range(6)
self.assertEqual(rsmem.geotransform, [float(x) for x in range(6)])
self.assertEqual(rsmem.origin, [0, 3])
self.assertEqual(rsmem.origin.x, 0)
self.assertEqual(rsmem.origin.y, 3)
self.assertEqual(rsmem.scale, [1, 5])
self.assertEqual(rsmem.scale.x, 1)
self.assertEqual(rsmem.scale.y, 5)
self.assertEqual(rsmem.skew, [2, 4])
self.assertEqual(rsmem.skew.x, 2)
self.assertEqual(rsmem.skew.y, 4)
self.assertEqual(rsmem.width, 5)
self.assertEqual(rsmem.height, 5)
def test_geotransform_bad_inputs(self):
rsmem = GDALRaster(JSON_RASTER)
error_geotransforms = [
[1, 2],
[1, 2, 3, 4, 5, 'foo'],
[1, 2, 3, 4, 5, 6, 'foo'],
]
msg = 'Geotransform must consist of 6 numeric values.'
for geotransform in error_geotransforms:
with self.subTest(i=geotransform), self.assertRaisesMessage(ValueError, msg):
rsmem.geotransform = geotransform
def test_rs_extent(self):
self.assertEqual(
self.rs.extent,
(511700.4680706557, 417703.3771231986, 528000.4680706557, 435103.3771231986)
)
def test_rs_bands(self):
self.assertEqual(len(self.rs.bands), 1)
self.assertIsInstance(self.rs.bands[0], GDALBand)
def test_memory_based_raster_creation(self):
# Create uint8 raster with full pixel data range (0-255)
rast = GDALRaster({
'datatype': 1,
'width': 16,
'height': 16,
'srid': 4326,
'bands': [{
'data': range(256),
'nodata_value': 255,
}],
})
# Get array from raster
result = rast.bands[0].data()
if numpy:
result = result.flatten().tolist()
# Assert data is same as original input
self.assertEqual(result, list(range(256)))
def test_file_based_raster_creation(self):
# Prepare tempfile
rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
# Create file-based raster from scratch
GDALRaster({
'datatype': self.rs.bands[0].datatype(),
'driver': 'tif',
'name': rstfile.name,
'width': 163,
'height': 174,
'nr_of_bands': 1,
'srid': self.rs.srs.wkt,
'origin': (self.rs.origin.x, self.rs.origin.y),
'scale': (self.rs.scale.x, self.rs.scale.y),
'skew': (self.rs.skew.x, self.rs.skew.y),
'bands': [{
'data': self.rs.bands[0].data(),
'nodata_value': self.rs.bands[0].nodata_value,
}],
})
# Reload newly created raster from file
restored_raster = GDALRaster(rstfile.name)
self.assertEqual(restored_raster.srs.wkt, self.rs.srs.wkt)
self.assertEqual(restored_raster.geotransform, self.rs.geotransform)
if numpy:
numpy.testing.assert_equal(
restored_raster.bands[0].data(),
self.rs.bands[0].data()
)
else:
self.assertEqual(restored_raster.bands[0].data(), self.rs.bands[0].data())
def test_vsi_raster_creation(self):
# Open a raster as a file object.
with open(self.rs_path, 'rb') as dat:
# Instantiate a raster from the file binary buffer.
vsimem = GDALRaster(dat.read())
# The data of the in-memory file is equal to the source file.
result = vsimem.bands[0].data()
target = self.rs.bands[0].data()
if numpy:
result = result.flatten().tolist()
target = target.flatten().tolist()
self.assertEqual(result, target)
def test_vsi_raster_deletion(self):
path = '/vsimem/raster.tif'
# Create a vsi-based raster from scratch.
vsimem = GDALRaster({
'name': path,
'driver': 'tif',
'width': 4,
'height': 4,
'srid': 4326,
'bands': [{
'data': range(16),
}],
})
# The virtual file exists.
rst = GDALRaster(path)
self.assertEqual(rst.width, 4)
# Delete GDALRaster.
del vsimem
del rst
# The virtual file has been removed.
msg = 'Could not open the datasource at "/vsimem/raster.tif"'
with self.assertRaisesMessage(GDALException, msg):
GDALRaster(path)
def test_vsi_invalid_buffer_error(self):
msg = 'Failed creating VSI raster from the input buffer.'
with self.assertRaisesMessage(GDALException, msg):
GDALRaster(b'not-a-raster-buffer')
def test_vsi_buffer_property(self):
# Create a vsi-based raster from scratch.
rast = GDALRaster({
'name': '/vsimem/raster.tif',
'driver': 'tif',
'width': 4,
'height': 4,
'srid': 4326,
'bands': [{
'data': range(16),
}],
})
# Do a round trip from raster to buffer to raster.
result = GDALRaster(rast.vsi_buffer).bands[0].data()
if numpy:
result = result.flatten().tolist()
# Band data is equal to nodata value except on input block of ones.
self.assertEqual(result, list(range(16)))
# The vsi buffer is None for rasters that are not vsi based.
self.assertIsNone(self.rs.vsi_buffer)
def test_offset_size_and_shape_on_raster_creation(self):
rast = GDALRaster({
'datatype': 1,
'width': 4,
'height': 4,
'srid': 4326,
'bands': [{
'data': (1,),
'offset': (1, 1),
'size': (2, 2),
'shape': (1, 1),
'nodata_value': 2,
}],
})
# Get array from raster.
result = rast.bands[0].data()
if numpy:
result = result.flatten().tolist()
# Band data is equal to nodata value except on input block of ones.
self.assertEqual(
result,
[2, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2, 2, 2]
)
def test_set_nodata_value_on_raster_creation(self):
# Create raster filled with nodata values.
rast = GDALRaster({
'datatype': 1,
'width': 2,
'height': 2,
'srid': 4326,
'bands': [{'nodata_value': 23}],
})
# Get array from raster.
result = rast.bands[0].data()
if numpy:
result = result.flatten().tolist()
# All band data is equal to nodata value.
self.assertEqual(result, [23, ] * 4)
def test_set_nodata_none_on_raster_creation(self):
if GDAL_VERSION < (2, 1):
self.skipTest("GDAL >= 2.1 is required for this test.")
# Create raster without data and without nodata value.
rast = GDALRaster({
'datatype': 1,
'width': 2,
'height': 2,
'srid': 4326,
'bands': [{'nodata_value': None}],
})
# Get array from raster.
result = rast.bands[0].data()
if numpy:
result = result.flatten().tolist()
# Band data is equal to zero becaues no nodata value has been specified.
self.assertEqual(result, [0] * 4)
def test_raster_metadata_property(self):
# Check for required gdal version.
if GDAL_VERSION < (1, 11):
msg = 'GDAL ≥ 1.11 is required for using the metadata property.'
with self.assertRaisesMessage(ValueError, msg):
self.rs.metadata
return
self.assertEqual(
self.rs.metadata,
{'DEFAULT': {'AREA_OR_POINT': 'Area'}, 'IMAGE_STRUCTURE': {'INTERLEAVE': 'BAND'}},
)
# Create file-based raster from scratch
source = GDALRaster({
'datatype': 1,
'width': 2,
'height': 2,
'srid': 4326,
'bands': [{'data': range(4), 'nodata_value': 99}],
})
# Set metadata on raster and on a band.
metadata = {
'DEFAULT': {'OWNER': 'Django', 'VERSION': '1.0', 'AREA_OR_POINT': 'Point', },
}
source.metadata = metadata
source.bands[0].metadata = metadata
self.assertEqual(source.metadata['DEFAULT'], metadata['DEFAULT'])
self.assertEqual(source.bands[0].metadata['DEFAULT'], metadata['DEFAULT'])
# Update metadata on raster.
metadata = {
'DEFAULT': {'VERSION': '2.0', },
}
source.metadata = metadata
self.assertEqual(source.metadata['DEFAULT']['VERSION'], '2.0')
# Remove metadata on raster.
metadata = {
'DEFAULT': {'OWNER': None, },
}
source.metadata = metadata
self.assertNotIn('OWNER', source.metadata['DEFAULT'])
def test_raster_info_accessor(self):
if GDAL_VERSION < (2, 1):
msg = 'GDAL ≥ 2.1 is required for using the info property.'
with self.assertRaisesMessage(ValueError, msg):
self.rs.info
return
gdalinfo = """
Driver: GTiff/GeoTIFF
Files: {0}
Size is 163, 174
Coordinate System is:
PROJCS["NAD83 / Florida GDL Albers",
GEOGCS["NAD83",
DATUM["North_American_Datum_1983",
SPHEROID["GRS 1980",6378137,298.257222101,
AUTHORITY["EPSG","7019"]],
TOWGS84[0,0,0,0,0,0,0],
AUTHORITY["EPSG","6269"]],
PRIMEM["Greenwich",0,
AUTHORITY["EPSG","8901"]],
UNIT["degree",0.0174532925199433,
AUTHORITY["EPSG","9122"]],
AUTHORITY["EPSG","4269"]],
PROJECTION["Albers_Conic_Equal_Area"],
PARAMETER["standard_parallel_1",24],
PARAMETER["standard_parallel_2",31.5],
PARAMETER["latitude_of_center",24],
PARAMETER["longitude_of_center",-84],
PARAMETER["false_easting",400000],
PARAMETER["false_northing",0],
UNIT["metre",1,
AUTHORITY["EPSG","9001"]],
AXIS["X",EAST],
AXIS["Y",NORTH],
AUTHORITY["EPSG","3086"]]
Origin = (511700.468070655711927,435103.377123198588379)
Pixel Size = (100.000000000000000,-100.000000000000000)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
INTERLEAVE=BAND
Corner Coordinates:
Upper Left ( 511700.468, 435103.377) ( 82d51'46.16"W, 27d55' 1.53"N)
Lower Left ( 511700.468, 417703.377) ( 82d51'52.04"W, 27d45'37.50"N)
Upper Right ( 528000.468, 435103.377) ( 82d41'48.81"W, 27d54'56.30"N)
Lower Right ( 528000.468, 417703.377) ( 82d41'55.54"W, 27d45'32.28"N)
Center ( 519850.468, 426403.377) ( 82d46'50.64"W, 27d50'16.99"N)
Band 1 Block=163x50 Type=Byte, ColorInterp=Gray
NoData Value=15
""".format(self.rs_path)
# Data
info_dyn = [line.strip() for line in self.rs.info.split('\n') if line.strip() != '']
info_ref = [line.strip() for line in gdalinfo.split('\n') if line.strip() != '']
self.assertEqual(info_dyn, info_ref)
def test_compressed_file_based_raster_creation(self):
rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
# Make a compressed copy of an existing raster.
compressed = self.rs.warp({'papsz_options': {'compress': 'packbits'}, 'name': rstfile.name})
# Check physically if compression worked.
self.assertLess(os.path.getsize(compressed.name), os.path.getsize(self.rs.name))
if GDAL_VERSION > (1, 11):
# Create file-based raster with options from scratch.
compressed = GDALRaster({
'datatype': 1,
'driver': 'tif',
'name': rstfile.name,
'width': 40,
'height': 40,
'srid': 3086,
'origin': (500000, 400000),
'scale': (100, -100),
'skew': (0, 0),
'bands': [{
'data': range(40 ^ 2),
'nodata_value': 255,
}],
'papsz_options': {
'compress': 'packbits',
'pixeltype': 'signedbyte',
'blockxsize': 23,
'blockysize': 23,
}
})
# Check if options used on creation are stored in metadata.
# Reopening the raster ensures that all metadata has been written
# to the file.
compressed = GDALRaster(compressed.name)
self.assertEqual(compressed.metadata['IMAGE_STRUCTURE']['COMPRESSION'], 'PACKBITS',)
self.assertEqual(compressed.bands[0].metadata['IMAGE_STRUCTURE']['PIXELTYPE'], 'SIGNEDBYTE')
if GDAL_VERSION >= (2, 1):
self.assertIn('Block=40x23', compressed.info)
def test_raster_warp(self):
# Create in memory raster
source = GDALRaster({
'datatype': 1,
'driver': 'MEM',
'name': 'sourceraster',
'width': 4,
'height': 4,
'nr_of_bands': 1,
'srid': 3086,
'origin': (500000, 400000),
'scale': (100, -100),
'skew': (0, 0),
'bands': [{
'data': range(16),
'nodata_value': 255,
}],
})
# Test altering the scale, width, and height of a raster
data = {
'scale': [200, -200],
'width': 2,
'height': 2,
}
target = source.warp(data)
self.assertEqual(target.width, data['width'])
self.assertEqual(target.height, data['height'])
self.assertEqual(target.scale, data['scale'])
self.assertEqual(target.bands[0].datatype(), source.bands[0].datatype())
self.assertEqual(target.name, 'sourceraster_copy.MEM')
result = target.bands[0].data()
if numpy:
result = result.flatten().tolist()
self.assertEqual(result, [5, 7, 13, 15])
# Test altering the name and datatype (to float)
data = {
'name': '/path/to/targetraster.tif',
'datatype': 6,
}
target = source.warp(data)
self.assertEqual(target.bands[0].datatype(), 6)
self.assertEqual(target.name, '/path/to/targetraster.tif')
self.assertEqual(target.driver.name, 'MEM')
result = target.bands[0].data()
if numpy:
result = result.flatten().tolist()
self.assertEqual(
result,
[0.0, 1.0, 2.0, 3.0,
4.0, 5.0, 6.0, 7.0,
8.0, 9.0, 10.0, 11.0,
12.0, 13.0, 14.0, 15.0]
)
def test_raster_warp_nodata_zone(self):
# Create in memory raster.
source = GDALRaster({
'datatype': 1,
'driver': 'MEM',
'width': 4,
'height': 4,
'srid': 3086,
'origin': (500000, 400000),
'scale': (100, -100),
'skew': (0, 0),
'bands': [{
'data': range(16),
'nodata_value': 23,
}],
})
# Warp raster onto a location that does not cover any pixels of the original.
result = source.warp({'origin': (200000, 200000)}).bands[0].data()
if numpy:
result = result.flatten().tolist()
# The result is an empty raster filled with the correct nodata value.
self.assertEqual(result, [23] * 16)
def test_raster_transform(self):
# Prepare tempfile and nodata value
rstfile = tempfile.NamedTemporaryFile(suffix='.tif')
ndv = 99
# Create in file based raster
source = GDALRaster({
'datatype': 1,
'driver': 'tif',
'name': rstfile.name,
'width': 5,
'height': 5,
'nr_of_bands': 1,
'srid': 4326,
'origin': (-5, 5),
'scale': (2, -2),
'skew': (0, 0),
'bands': [{
'data': range(25),
'nodata_value': ndv,
}],
})
# Transform raster into srid 4326.
target = source.transform(3086)
# Reload data from disk
target = GDALRaster(target.name)
self.assertEqual(target.srs.srid, 3086)
self.assertEqual(target.width, 7)
self.assertEqual(target.height, 7)
self.assertEqual(target.bands[0].datatype(), source.bands[0].datatype())
self.assertAlmostEqual(target.origin[0], 9124842.791079799)
self.assertAlmostEqual(target.origin[1], 1589911.6476407414)
self.assertAlmostEqual(target.scale[0], 223824.82664250192)
self.assertAlmostEqual(target.scale[1], -223824.82664250192)
self.assertEqual(target.skew, [0, 0])
result = target.bands[0].data()
if numpy:
result = result.flatten().tolist()
# The reprojection of a raster that spans over a large area
# skews the data matrix and might introduce nodata values.
self.assertEqual(
result,
[
ndv, ndv, ndv, ndv, 4, ndv, ndv,
ndv, ndv, 2, 3, 9, ndv, ndv,
ndv, 1, 2, 8, 13, 19, ndv,
0, 6, 6, 12, 18, 18, 24,
ndv, 10, 11, 16, 22, 23, ndv,
ndv, ndv, 15, 21, 22, ndv, ndv,
ndv, ndv, 20, ndv, ndv, ndv, ndv,
]
)
class GDALBandTests(SimpleTestCase):
def setUp(self):
self.rs_path = os.path.join(os.path.dirname(__file__), '../data/rasters/raster.tif')
rs = GDALRaster(self.rs_path)
self.band = rs.bands[0]
def test_band_data(self):
pam_file = self.rs_path + '.aux.xml'
self.assertEqual(self.band.width, 163)
self.assertEqual(self.band.height, 174)
self.assertEqual(self.band.description, '')
self.assertEqual(self.band.datatype(), 1)
self.assertEqual(self.band.datatype(as_string=True), 'GDT_Byte')
self.assertEqual(self.band.nodata_value, 15)
if numpy:
data = self.band.data()
assert_array = numpy.loadtxt(
os.path.join(os.path.dirname(__file__), '../data/rasters/raster.numpy.txt')
)
numpy.testing.assert_equal(data, assert_array)
self.assertEqual(data.shape, (self.band.height, self.band.width))
try:
smin, smax, smean, sstd = self.band.statistics(approximate=True)
self.assertEqual(smin, 0)
self.assertEqual(smax, 9)
self.assertAlmostEqual(smean, 2.842331288343558)
self.assertAlmostEqual(sstd, 2.3965567248965356)
smin, smax, smean, sstd = self.band.statistics(approximate=False, refresh=True)
self.assertEqual(smin, 0)
self.assertEqual(smax, 9)
self.assertAlmostEqual(smean, 2.828326634228898)
self.assertAlmostEqual(sstd, 2.4260526986669095)
self.assertEqual(self.band.min, 0)
self.assertEqual(self.band.max, 9)
self.assertAlmostEqual(self.band.mean, 2.828326634228898)
self.assertAlmostEqual(self.band.std, 2.4260526986669095)
# Statistics are persisted into PAM file on band close
self.band = None
self.assertTrue(os.path.isfile(pam_file))
finally:
# Close band and remove file if created
self.band = None
if os.path.isfile(pam_file):
os.remove(pam_file)
def test_read_mode_error(self):
# Open raster in read mode
rs = GDALRaster(self.rs_path, write=False)
band = rs.bands[0]
# Setting attributes in write mode raises exception in the _flush method
with self.assertRaises(GDALException):
setattr(band, 'nodata_value', 10)
def test_band_data_setters(self):
# Create in-memory raster and get band
rsmem = GDALRaster({
'datatype': 1,
'driver': 'MEM',
'name': 'mem_rst',
'width': 10,
'height': 10,
'nr_of_bands': 1,
'srid': 4326,
})
bandmem = rsmem.bands[0]
# Set nodata value
bandmem.nodata_value = 99
self.assertEqual(bandmem.nodata_value, 99)
# Set data for entire dataset
bandmem.data(range(100))
if numpy:
numpy.testing.assert_equal(bandmem.data(), numpy.arange(100).reshape(10, 10))
else:
self.assertEqual(bandmem.data(), list(range(100)))
# Prepare data for setting values in subsequent tests
block = list(range(100, 104))
packed_block = struct.pack('<' + 'B B B B', *block)
# Set data from list
bandmem.data(block, (1, 1), (2, 2))
result = bandmem.data(offset=(1, 1), size=(2, 2))
if numpy:
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
else:
self.assertEqual(result, block)
# Set data from packed block
bandmem.data(packed_block, (1, 1), (2, 2))
result = bandmem.data(offset=(1, 1), size=(2, 2))
if numpy:
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
else:
self.assertEqual(result, block)
# Set data from bytes
bandmem.data(bytes(packed_block), (1, 1), (2, 2))
result = bandmem.data(offset=(1, 1), size=(2, 2))
if numpy:
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
else:
self.assertEqual(result, block)
# Set data from bytearray
bandmem.data(bytearray(packed_block), (1, 1), (2, 2))
result = bandmem.data(offset=(1, 1), size=(2, 2))
if numpy:
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
else:
self.assertEqual(result, block)
# Set data from memoryview
bandmem.data(memoryview(packed_block), (1, 1), (2, 2))
result = bandmem.data(offset=(1, 1), size=(2, 2))
if numpy:
numpy.testing.assert_equal(result, numpy.array(block).reshape(2, 2))
else:
self.assertEqual(result, block)
# Set data from numpy array
if numpy:
bandmem.data(numpy.array(block, dtype='int8').reshape(2, 2), (1, 1), (2, 2))
numpy.testing.assert_equal(
bandmem.data(offset=(1, 1), size=(2, 2)),
numpy.array(block).reshape(2, 2)
)
# Test json input data
rsmemjson = GDALRaster(JSON_RASTER)
bandmemjson = rsmemjson.bands[0]
if numpy:
numpy.testing.assert_equal(
bandmemjson.data(),
numpy.array(range(25)).reshape(5, 5)
)
else:
self.assertEqual(bandmemjson.data(), list(range(25)))
def test_band_statistics_automatic_refresh(self):
rsmem = GDALRaster({
'srid': 4326,
'width': 2,
'height': 2,
'bands': [{'data': [0] * 4, 'nodata_value': 99}],
})
band = rsmem.bands[0]
# Populate statistics cache
self.assertEqual(band.statistics(), (0, 0, 0, 0))
# Change data
band.data([1, 1, 0, 0])
# Statistics are properly updated
self.assertEqual(band.statistics(), (0.0, 1.0, 0.5, 0.5))
# Change nodata_value
band.nodata_value = 0
# Statistics are properly updated
self.assertEqual(band.statistics(), (1.0, 1.0, 1.0, 0.0))
def test_band_statistics_empty_band(self):
rsmem = GDALRaster({
'srid': 4326,
'width': 1,
'height': 1,
'bands': [{'data': [0], 'nodata_value': 0}],
})
self.assertEqual(rsmem.bands[0].statistics(), (None, None, None, None))
def test_band_delete_nodata(self):
rsmem = GDALRaster({
'srid': 4326,
'width': 1,
'height': 1,
'bands': [{'data': [0], 'nodata_value': 1}],
})
if GDAL_VERSION < (2, 1):
msg = 'GDAL >= 2.1 required to delete nodata values.'
with self.assertRaisesMessage(ValueError, msg):
rsmem.bands[0].nodata_value = None
else:
rsmem.bands[0].nodata_value = None
self.assertIsNone(rsmem.bands[0].nodata_value)
def test_band_data_replication(self):
band = GDALRaster({
'srid': 4326,
'width': 3,
'height': 3,
'bands': [{'data': range(10, 19), 'nodata_value': 0}],
}).bands[0]
# Variations for input (data, shape, expected result).
combos = (
([1], (1, 1), [1] * 9),
(range(3), (1, 3), [0, 0, 0, 1, 1, 1, 2, 2, 2]),
(range(3), (3, 1), [0, 1, 2, 0, 1, 2, 0, 1, 2]),
)
for combo in combos:
band.data(combo[0], shape=combo[1])
if numpy:
numpy.testing.assert_equal(band.data(), numpy.array(combo[2]).reshape(3, 3))
else:
self.assertEqual(band.data(), list(combo[2]))